CN106203887A

CN106203887A - A kind of network of highways characteristic analysis method based on cross classification and device

Info

Publication number: CN106203887A
Application number: CN201610595170.8A
Authority: CN
Inventors: 赵慧; 吴海俊; 李昱瑾; 胡松; 段铁铮
Original assignee: Beijing General Municipal Engineering Design and Research Institute Co Ltd
Current assignee: Beijing General Municipal Engineering Design and Research Institute Co Ltd
Priority date: 2016-07-26
Filing date: 2016-07-26
Publication date: 2016-12-07

Abstract

The invention discloses a kind of network of highways characteristic analysis method based on cross classification and device.On the basis of identifying network of highways characteristic and proposing quantizating index, use cross classification to realize the matrix correlation of network of highways characteristic and quantizating index, calculate quantizating index, and according to the grading standard of each index, the qualitative implication of analysis indexes, obtains network of highways characteristic factor analysis result.Include according to the device designed by method of invention: network of highways characteristic identification module, quantizating index are set up module, cross classification relating module, data importing module, network of highways specificity analysis module, data memory module and data outputting module seven part and constituted.Wherein, cross classification relating module and network of highways specificity analysis module are the cores of this device.Based on the device invented, it is simple to the method that application is invented realizes manager and comprehensively and systematically grasps the characteristic of network of highways, improve the scientific rationality of network of highways specificity analysis, standardization and convenience.

Description

A kind of network of highways characteristic analysis method based on cross classification and device

Technical field

The present invention relates to a kind of network of highways characteristic analysis method based on cross classification and device, belong to highway transportation, Data analysis technique field.

Background technology

Highway is the important component part of Transportation Infrastructure Construction, to promoting socio-economic development, service passenger and freight transportation Significant.Network of highways system is carried out scientific and rational evaluation, and the planning construction work to follow-up network of highways has weight Want meaning.Although network of highways appraisal and research have been carried out decades, but the network of highways appraisal often said is Refer to the network of highways evaluation of narrow sense, i.e. use multiple index to be evaluated network of highways analyzing.And this technology is basic over nearly 10 years The deepening development of unsystematic, this can not meet the most far away the needs of current network of highways appraisal.

The appraisement system of network of highways includes three aspects, respectively: network of highways metrics evaluation, network of highways specificity analysis and public affairs Road network problem and genetic analysis.Wherein, network of highways specificity analysis serves the effect formed a connecting link, and on the one hand network of highways characteristic is divided Analysis can play the effect expanding network of highways metrics evaluation content；On the other hand, it is network of highways problem and causal analytic basis. The specificity analysis of network of highways is mainly based on qualitative analysis at present, lacks quantitative analysis.Especially with highway communication data acquisition The extensive application of the data analysis technique perfect, big of collection technology, traditional network of highways specificity analysis side based on qualitative analysis Method can not meet the demand of appraisal.And disunity that specificity analysis is recognized by different personnel and technical merit Uneven, cause and be difficult to accurately find out the problem that network of highways exists.Accordingly, it would be desirable to set up a set of with quantitatively for specificity analysis Be main, qualitative be auxiliary method system, it is achieved specificity analysis scientific, provide for follow-up decision and quantify to support.

Summary of the invention

It is an object of the invention to provide a kind of network of highways characteristic analysis method based on cross classification and device, to solve The certainly technical problem such as the objectivity of network of highways specificity analysis, systematicness, versatility and efficiency.

The technical solution adopted for the present invention to solve the technical problems is:

A kind of network of highways characteristic analysis method based on cross classification, including identifying network of highways characteristic；It is proposed for spy Property analyze quantizating index；Use cross classification to realize the interrelated of network of highways characteristic and quantizating index, set up network of highways Characteristic factor and the incidence matrix of quantizating index；Carry out network of highways specificity analysis, calculate quantizating index, and according to each index Grading standard, the qualitative implication of analysis indexes, obtain network of highways characteristic factor analysis result；User is first special according to user Property analyze demand identification network of highways characteristic factor, and set up sexual factor storehouse；Enter and quantify Index Establishment module, special according to network of highways Sexual factor feature, sets up quantizating index storehouse；Network of highways characteristic identification module and quantizating index are set up module and are all entered cross classification Method relating module, realizes the association of characteristic factor and quantizating index in this module, sets up cross classification incidence matrix；Highway Net characteristic identification module, quantizating index are set up module, cross classification relating module and network of highways collection data and are all entered number According to import module, to network of highways specificity analysis module import characteristic factor storehouse, quantizating index storehouse, cross classification incidence matrix and Network of highways gathers data；Network of highways specificity analysis module calculates for the dependent quantization index of each characteristic, and sets up spy Sexual factor and index calculate tables of data, and on this basis, according to the grading standard of each index, the qualitative of analysis indexes contains Justice, based on the method qualitatively and quantitatively combined, analyzes network of highways characteristic, and sets up specificity analysis result, and result be stored in Data storage device also issues the user with specificity analysis completion notice；After above-mentioned flow process completes, data storage device sum According to user's request, characteristic factor and index evaluation and specificity analysis result value are carried out automatically respectively according to output device Storage and Formatting Output, mainly include Characterization Data, specificity analysis result, and set up data output.

Described a kind of based on cross classification network of highways characteristic analysis method, specifically comprises the following steps that

1, network of highways characteristic is identified.

Seeing table 1, network of highways characteristic factor is the basis that network of highways is analyzed, and evaluates demand according to network of highways and data are special Property, identify 15 characteristic factoies of 5 aspect altogether.Specific as follows:

1) A road network scale: be the key property of reflection road network present situation construction situation.Specifically include 3 characteristic factoies: The matching of A1 level of density, A2 mileage scale and socio-economic development and A3 mat formation situation；

A1 level of density is the size analyzing current highway network density；A2 mileage scale and the matching of socio-economic development It is to analyze highway mileage scale speedup and GDP and the relation of population speedup；A3 mat formation situation be analyze highway level of mating formation；

2) B road network structure: be reflection road network connection, grade and the key property of layout scenarios.Specifically include 4 Characteristic factor: B1 connection situation, B2 hierarchical organization, B3 access road layout scenarios and B4 inner passage layout scenarios；

B1 connection situation is the access feature of road network in the range of analyzed area；B2 hierarchical organization analyzes network of highways Level grating relation；B3 access road layout scenarios is that on each external direction of analyzed area, the connection of road realizes situation；In B4 Portion's channel layout situation is that the connection of the interior road connecting important node of analyzed area realizes situation, and wherein important node is usually Refer to city-city, central city-new city (district), new city (district)-small towns, Industrial Function district, tourist attractions, passenger traffic or Cargo Terminal (airport, railway, highway, water transport etc.)；

3) C operation level: be the key property of reflection road network running quality, on the one hand, internal from external traffic and service Two levels of traffic consider, the general direction distribution situation of the combing volume of traffic and running status；On the other hand, from the angle of road network Degree analyzes the degree of crowding.Specifically include 3 characteristic factoies: C1 external access operation level, C2 inner passage operation level With the C3 degree of crowding；

C1 external access operation level be the passage on each external direction of analyzed area traffie distribution situation and Degree of loading situation；C2 inner passage operation level is degree of loading and the average speed situation of road network in analyzed area；The crowded journey of C3 Degree is the congested conditions of road in analyzed area；

4) D planning realizes situation: be comparison railway network planning requirement, assessment road network present situation mileage and grade realize feelings Condition.Specifically include 2 characteristic factoies: D1 mileage realizes level and D2 grade realizes level two aspect；

D1 mileage realize level be analyze planning road mileage realize situation；It is to analyze planning road that D2 grade realizes level Road grade realize situation；

5) the passenger-cargo service function of E: be to start with from passenger and freight angle, the key property of reflection road network service function, main Will be from passenger and freight.Specifically include 3 characteristic factoies: the distribution of the E1 passenger traffic volume, the E2 volume of goods transported are distributed and the passenger-cargo situation of E3 Three aspects；

The distribution of the E1 passenger traffic volume is to analyze passenger traffic amount distribution situation in access road；The distribution of the E2 volume of goods transported is to analyze externally Freight traffic amount distribution situation in passage；The passenger-cargo situation of E3 is to analyze passenger-cargo accounting situation in access road.

2, the quantizating index of specificity analysis it is proposed for.

Seeing table 2, in order to realize the quantitative analysis for network of highways characteristic, proposing in conjunction with network of highways specificity analysis content can With quantify index, 14 altogether.Respectively: (1) road mileage；(2) the average growth rate per annum ratio of highway mileage-GDP-population Value；(3) mat formation level；(4) degree of communication；(5) hierarchy level；(6) connection fulfilling rate；(7) connection grade fulfilling rate；(8) traffic Amount distribution proportion；(9) degree of loading；(10) average speed；(11) the crowded rate of mileage；(12) mileage fulfilling rate；(13) grade realizes Rate；(14) passenger-cargo ratio.

1) road mileage

Road mileage is a conventional objective indicator, and its size reflects the highway network's development water of countries and regions Flat, embody internal structure and the reasonability thereof of road network to a certain extent, density of highway network has a following four computation schema:

Area density (kilometer/hundred square kilometre) refers to the highway mileage length that unit are has, and computing formula is:

γ_A=100 × L/A

Population density (kilometer/ten thousand people), refers to the highway mileage length that unit population has, and computing formula is:

γ_P=L/P

Economic density (kilometer/hundred million yuan), refers to the highway mileage length that the unit-economy output value is occupied, and computing formula is:

γ_G=L/G

Combined densityConsider area and demographic factor, obtain unit highway mileage Length, computing formula is:

γ = 10 \times L / \sqrt{A P}

In formula, γ_A、γ_P、γ_G, γ divide table to represent area density, population density, economic density and combined density；L represents Highway mileage, kilometer；A represents region area, square kilometre；P represents regional population, ten thousand people；G represents actual GDP, i.e. region warp Ji activity scale, hundred million yuan.

Highway mileage computing formula is:

L=∑ L_i

In formula, L represents highway mileage, kilometer；L_iRepresent the mileage in i-th section, kilometer in region.

2) the average growth rate per annum ratio of highway mileage-GDP-population

The average growth rate per annum ratio of highway mileage-GDP-population is the highway in the case of reflection per GDP and population speedup Mileage growth pattern, embodies highway mileage speedup and GDP and the relation of population speedup.Computing formula is:

R^{i - n} = R_{L}^{i - n} / \sqrt{R_{G}^{i - n} \times R_{P}^{i - n}}

In formula, R^i-nRepresent the average growth rate per annum ratio of the highway mileage-GDP-population of 1 year to 1 year；Represent The highway mileage average growth rate per annum of 1 year to 1 year, %；Represent the GDP average growth rate per annum of 1 year to 1 year, %；Represent the population average growth rate per annum of 1 year to 1 year, %.

The average growth rate per annum of highway mileageComputing formula be:

R_{L}^{i - n} = (\sqrt[(i - n)]{L^{i} / L^{n}} - 1) \times 100 %

In formula,Represent the highway mileage average growth rate per annum of 1 year to 1 year, %；LⁱRepresent 1 year highway mileage, Kilometer；LⁿRepresent the highway mileage of 1 year, kilometer；I, n are the time, and i > n.

The average growth rate per annum of GDPComputing formula be:

R_{G}^{i - n} = (\sqrt[(i - n)]{G^{i} / G^{n}} - 1) \times 100 %

In formula,Represent the GDP average growth rate per annum of 1 year to 1 year, %；GⁱRepresent 1 year actual GDP, hundred million yuan；Gⁿ Represent 1 year actual GDP, hundred million yuan；I, n are the time, and i > n.

The average growth rate per annum of populationComputing formula be:

R_{P}^{i - n} = (\sqrt[(i - n)]{P^{i} / P^{n}} - 1) \times 100 %

In formula,Represent the population average growth rate per annum of 1 year to 1 year, %；PⁱRepresent 1 year permanent resident population, ten thousand people； PⁿRepresent 1 year permanent resident population, ten thousand people；I, n are the time, and i > n.

3) mat formation level

Network of highways level of mating formation is closely related with the capacity and level-of-service of whole road network.On the one hand directly influence Driving quality, on the other hand directly affects again highway transport economy benefit.Computing formula is:

PZ=(∑ L_iPZ_i)/∑L_i

In formula, PZ represents road network (or certain (or certain is several) administrative hierarchy road) level of mating formation in region；L_iRepresentative Region The mileage in road network (or certain (or certain is several) administrative hierarchy road) i-th section, km in territory；PZ_iRepresent road network in region (or Certain (or certain is several) administrative hierarchy road) pavement grade in i-th section, mat formation to having, macadamize and do not mat formation, ginseng It is shown in Table 3, PZ_iTake 1,2,3 respectively.

4) degree of communication

Network of highways degree of communication is the connection situation by investigating each node, reflects the knot of network of highways in terms of Off-road motor vehides Structure feature, relies on the intensity that highway is interconnected between each node in being defined as planning region, computing formula is:

C = \frac{L / ξ}{\sqrt{A N}}

In formula, C represents network of highways degree of communication；L represents highway mileage, kilometer；A represents region area, square kilometre；N generation In table section, the nodes of connection, individual；ξ represents network of highways deformation coefficient (or non-linear coefficient), is defined as between each node reality The ratio of circuit total kilometrage and straight line total kilometrage, general value 1.1.

Connection nodes can add up according to administrative division, i.e. nodes be (district (county)) administrative center of city, small towns with And organizational system village sum；Network of highways total kilometrage takes township road and above highway mileage sum thereof.

When C is close to 1.00, road network layout is tree-shaped, mostly is two-way connection between each node；When C value is 2.00, road network cloth Office is square grid shape, node mostly is four tunnel connections；When C value is slightly larger than 3.00, road network layout is triangular mesh, and node mostly is six Road connects.

5) hierarchy level

The weighted mean of Nei Ge section, hierarchy level region correction technique grade represents.The height of road quality classification will be straight Connect and affect highway transportation situation.Computing formula is:

GL=(∑ L_iGL_i/η_i)/∑L_i

In formula, GL represents road network (or certain (or certain is several) administrative hierarchy road) hierarchy level (0≤GL≤5)；L_iGeneration The highway mileage in i-th section, kilometer in road network (or certain (or certain is several) administrative hierarchy road) in table section；GL_iRepresent The industrial grade in i-th section in road network (or certain (or certain is several) administrative hierarchy road) in region, corresponding high speed, one-level, Two grades, three grades, level Four, etc. outside, i takes 0,1,2,3,4,5 respectively；η_iRepresent the grade correction factor in Nei Ge section, region, at a high speed Highway, Class I highway, the η of Class II highway_iTaking 1, other highways take 0.97.

6) connection fulfilling rate

Connection fulfilling rate refers to real road bar number and the ratio planning bar number between region.Computing formula is:

K_{C} = \frac{N_{C}}{N_{C P}} \times 100 %

In formula, K_CRepresent connection fulfilling rate；N_CRepresent the real road bar number of connection between region；N_CPRepresent between region The road travel permit number of planning connection.

7) connection grade fulfilling rate

Connection grade fulfilling rate refers to that between region, real road realizes the bar number of planning grade and the ratio of planning bar number. Computing formula is:

K_{G} = \frac{N_{G}}{N_{C P}} \times 100 %

In formula, K_GRepresent connection fulfilling rate；N_GRepresent the road travel permit number realizing planning grade between region；N_CPRepresent region Between plan the road travel permit number of connection.

8) traffie distribution ratio

Traffie distribution ratio reflects the traffie distribution situation of a country different directions, its volume of traffic ratio Example is the biggest, illustrates that the volume of traffic that the direction is carried is the biggest.Computing formula is:

λ_{j} = \frac{Q_{j}}{\underset{j}{Σ} Q_{j}} \times 100 %

In formula, λ_jRepresent the traffie distribution ratio in jth direction, %；Q_jRepresent the volume of traffic in jth direction, pcu/d.

The volume of traffic Q in jth direction_jComputing formula as follows:

Q_{j} = \underset{k}{Σ} Q_{j k}

In formula, Q_jRepresent the volume of traffic in jth direction, pcu/d；Q_jkRepresent the volume of traffic in kTiao section, jth direction, pcu/ d.Wherein, link counting can be gathered by automatic equipment and manually collect.

9) degree of loading

Network of highways degree of loading is exactly to reflect the ability that whole road network adapts to load, i.e. with the adaptation situation of transport need, fixed Justice is the ratio of the network of highways volume of traffic and network of highways capacity.Computing formula is:

S = \frac{\underset{i}{Σ} (q_{i} L_{i})}{\underset{i}{Σ} ({QC}_{i} L_{i})}

In formula, S represents road network (or certain (or certain is several) administrative hierarchy road) degree of loading in region；L_iRepresent in region The mileage in i-th section, km in road network (or certain (or certain is several) administrative hierarchy road)；q_iRepresent road network in region (or certain Kind of (or certain is several) administrative hierarchy road) in i-th section actual traffic amount, pcu/d；QC_iRepresent road network (or certain (or certain Several) administrative hierarchy road) in i-th section adapt to the volume of traffic, pcu/d, see table 4.

10) average speed

Average speed is the mileage weighted mean of each Road average-speed in road network, is the highway system in highway communication System, Vehicular system and the result of management system synthesis effect, the concentrated expression system service performance of road network.Computing formula is:

V=a × q^-b

In formula, v represents the average speed in section, km/h；Q represents the volume of traffic in section, pcu/d；A, b and highway technology etc. The constant that level is relevant, parameter value sees table 5.

Highway is divided into several sections by industrial grade, calculates the average speed of each section according to above-mentioned model, The average speed of whole road network is calculated further according to average weighted method.Computing formula is:

V = \frac{\underset{i}{Σ} v_{i} L_{i} q_{i}}{\underset{i}{Σ} L_{i} q_{i}}

In formula, V represents the average speed of road network (or certain (or certain is several) administrative hierarchy road), km/h in region；v_i Represent in region the average speed in i-th section, km/h in road network (or certain (or certain is several) administrative hierarchy road)；L_iRepresent The highway mileage in i-th section, kilometer in road network (or certain (or certain is several) administrative hierarchy road) in region；q_iRepresent region The volume of traffic in i-th section, pcu/d in interior road network (or certain (or certain is several) administrative hierarchy road).

11) the crowded rate of mileage

The crowded rate of network of highways mileage refers to that the crowded section of highway total kilometrage in network of highways accounts for the ratio of network of highways total kilometrage.Calculate Formula is:

P_{s} = \frac{{ΣL}_{s i}}{{ΣL}_{i}} \times 100 %

In formula, P_sRepresent the crowded rate of mileage of road network (or certain (or certain is several) administrative hierarchy road) in region；L_siGeneration The mileage of i-th section crowded section of highway, kilometer in road network (or certain (or certain is several) administrative hierarchy road) in table section；L_iGeneration The mileage in i-th section, kilometer in road network (or certain (or certain is several) administrative hierarchy road) in table section.

The criterion of crowded section of highway is the section that degree of loading is more than 1, is crowded section of highway.

12) mileage fulfilling rate

Fulfilling rate refers to the actual ratio building mileage and planned highway network mileage of network of highways.Computing formula is:

P_{L} = \frac{L}{L_{p}}

In formula, P_LRepresent the mileage fulfilling rate of road network (or certain (or certain is several) administrative hierarchy road)；L represents road network (or certain (or certain is several) administrative hierarchy road) planning mileage realization amount, kilometer；L_p(or certain are (or a few to represent network of highways Kind) administrative hierarchy road) planning mileage, kilometer.

13) grade fulfilling rate

Grade fulfilling rate refers to the ratio of actual network of highways hierarchy level and the network of highways hierarchy level of planning.Computing formula For:

P_{G} = \frac{L_{G}}{L_{p}}

In formula, P_GRepresent the grade fulfilling rate of road network (or certain (or certain is several) administrative hierarchy road)；L_GRepresent road network (or certain (or certain is several) administrative hierarchy road) planning grade realization amount, kilometer；L_p(or certain are (or a few to represent network of highways Kind) administrative hierarchy road) planning mileage, kilometer.

14) passenger-cargo ratio

Passenger-cargo ratio refers to the ratio of passenger traffic amount and freight traffic amount, and it reflects passenger-cargo clothes of certain road or passage Business characteristic.

η = \frac{Q_{P}}{Q_{F}}

In formula, η represents passenger-cargo ratio；Q_PRepresent passenger traffic amount, pcu/d；Q_FRepresent freight traffic amount, pcu/d.

3, cross classification is used to realize the interrelated of network of highways characteristic and quantizating index；

See table 6, use cross classification, give the incidence matrix of network of highways characteristic and quantizating index；This matrix is straight That sees reflects many-to-one association, man-to-man association and three features of association multiplicity；

1) many-to-one relatedness: one characteristic of the most multiple metrics evaluation；

2) man-to-man relatedness: one characteristic of i.e. one metrics evaluation；

3) association multiplicity: i.e. one index can evaluate multiple characteristic simultaneously；

4, network of highways characteristic is analyzed；

For characteristic factor to be analyzed, the network of highways characteristic factor set up based on cross classification and quantizating index Incidence matrix, picks out calculative quantizating index, uses the computing formula of step 2 to carry out the calculating of index；For index The quantized result calculated, according to the grading standard of each index, analyzes the qualitative implication of each index, obtains network of highways special Sexual factor analysis result.

A kind of network of highways specificity analysis device based on cross classification, including: network of highways characteristic identification module, quantization refer to Mark set up module, cross classification relating module, data import module, network of highways specificity analysis module, data memory module and Data outputting module seven part is constituted；These seven parts connect each other, combine according to the data flow in specificity analysis, And use in order；

The function of network of highways characteristic identification module is to evaluate demand based on network of highways, identifies network of highways characteristic factor；

It is to gather situation according to network of highways characteristic factor and road network data that quantizating index sets up the function of module, proposes Corresponding evaluation index is analyzed with characteristic factor；

The function of cross classification relating module is the content reflected according to characteristic factor, uses cross classification, real Existing quantizating index is interrelated with characteristic factor, specifies the quantizating index used when characteristic factor is analyzed；

Data import the function of module and are introduced into network of highways collection data, characteristic factor storehouse, quantizating index storehouse and intersection point Class method incidence matrix；

The function of network of highways specificity analysis module is the quantizating index that analytical calculation characteristic factor is corresponding, calculates for index Quantized result, according to the grading standard of each index, analyze the qualitative implication of each index, obtain network of highways characteristic because of Element analysis result；

The function of data memory module is to realize each data processing stage data to preserve；

The function of data outputting module is tied according to user's request output characteristics factor and index evaluation and specificity analysis Really；

This seven part connects each other, flows to combine use in order according to specificity analysis；Its running is as follows: After determining network of highways evaluation object, binding characteristic analyzes demand, by network of highways characteristic identification module clear and definite network of highways characteristic Analysing content；Network of highways characteristic identification module connects quantizating index and sets up module, cross classification relating module and data importing Module, in quantizating index sets up module, according to characteristic factor, arranges quantization evaluation index, connects cross classification and closes gang mould Block and data import module；Cross classification relating module realizes associating of network of highways characteristic factor and quantizating index, connects number According to importing module；Network of highways gathers data cube computation data and imports module, and data import module and connect network of highways specificity analysis module, According to characteristic factor analysing content, calculate quantizating index, the quantized result calculated for index, draw according to the grade of each index Minute mark is accurate, analyzes the qualitative implication of each index, obtains network of highways characteristic factor analysis result, and by the characteristic factor obtained and Index evaluation and specificity analysis result realize preserving and the merit of output via data memory module and data outputting module Energy.

Advantages of the present invention is as follows:

Owing to still lacking of quantification analysis index helpful and the method for network of highways characteristic at present, in order to comprehensively and systematically analyze Network of highways characteristic, accurately grasps the problem that network of highways exists, and provides for follow-up network of highways relevant Decision and supports, has invented the present invention Described a kind of based on cross classification network of highways characteristic analysis method and device.The user of the method and device is according to highway The characteristic of on-Line review valency demand analysis network of highways, on the basis of identifying network of highways characteristic factor, proposes quantitatively evaluating index, based on Cross classification realizes associating of network of highways characteristic factor and quantizating index, the data gathered in conjunction with network of highways, according to characteristic because of Element analysing content, calculates quantizating index, the quantized result calculated for index, according to the grading standard of each index, point Analyse the qualitative implication of each index, obtain network of highways characteristic factor analysis result, it is achieved network of highways specificity analysis with quantification of master, Qualitative is auxiliary target.The invention has the beneficial effects as follows from application oriented angle, it is achieved that the quantization of network of highways characteristic Analyzing, the network of highways characteristic factor proposed and quantizating index the most systematically cover the main aspect that network of highways is evaluated, Characteristic factor has systematicness, contains the features such as wide, and quantizating index has the features such as easily quantization, easy contrast, quantizating index Classification standard divides has the features such as readily understood, intuitive is strong, improves the quantization supporting dynamics of analysis decision, enhances evaluation The standardization of work and convenience；Additionally, the highly versatile of the present invention, it is adaptable to highway network actuality evaluation analysis, planning side The aspects such as case effect analysis, contribute to improving network of highways appraisement system.

Accompanying drawing explanation

Fig. 1 is assembly of the invention structure chart.

Fig. 2 is assembly of the invention flow chart.

Detailed description of the invention

Be given below embodiment illustrate invention detailed description of the invention:

A kind of network of highways characteristic analysis method based on cross classification of the present invention, specifically includes: identify network of highways Characteristic, has the characteristic factor of 7 aspects；It is proposed for the quantizating index of specificity analysis, includes 14 quantizating index altogether；Use and hand over Fork classification method realizes the interrelated of network of highways characteristic and quantizating index, sets up associating of network of highways characteristic factor and quantizating index Matrix；Carry out network of highways specificity analysis, calculate quantizating index, the quantized result calculated for index, according to each index etc. The level criteria for classifying, analyzes the qualitative implication of each index, obtains network of highways characteristic factor analysis result.The present invention is a kind of with fixed Component analysis be main, qualitative analysis be auxiliary network of highways characteristic analysis method, it is simple to manager comprehensively and systematically grasps network of highways Characteristic, provides reference for follow-up network of highways case study, countermeasure.The invention mainly includes steps:

1, network of highways characteristic is identified.

2, the quantizating index of specificity analysis it is proposed for.

1) road mileage

γ_A=100 × L/A

γ_P=L/P

γ_G=L/G

Combined densityConsider area and demographic factor, obtain unit highway mileage long Degree, computing formula is:

γ = 10 \times L / \sqrt{A P}

Highway mileage computing formula is:

L=∑ L_i

2) the average growth rate per annum ratio of highway mileage-GDP-population

R^{i - n} = R_{L}^{i - n} / \sqrt{R_{G}^{i - n} \times R_{P}^{i - n}}

In formula, R^i-nRepresent the average growth rate per annum ratio of the highway mileage-GDP-population of 1 year to 1 year；Represent The highway mileage average growth rate per annum of n to i-th year, %；Represent the GDP average growth rate per annum of 1 year to 1 year, %； Represent the population average growth rate per annum of 1 year to 1 year, %.

The average growth rate per annum of highway mileageComputing formula be:

R_{L}^{i - n} = (\sqrt[(i - n)]{L^{i} / L^{n}} - 1) \times 100 %

The average growth rate per annum of GDPComputing formula be:

R_{G}^{i - n} = (\sqrt[(i - n)]{G^{i} / G^{n}} - 1) \times 100 %

The average growth rate per annum of populationComputing formula be:

R_{P}^{i - n} = (\sqrt[(i - n)]{P^{i} / P^{n}} - 1) \times 100 %

3) mat formation level

PZ=(∑ L_iPZ_i)/∑L_i

4) degree of communication

C = \frac{L / ξ}{\sqrt{A N}}

5) hierarchy level

GL=(∑ L_iGL_i/η_i)/∑L_i

6) connection fulfilling rate

K_{C} = \frac{N_{C}}{N_{C P}} \times 100 %

7) connection grade fulfilling rate

K_{G} = \frac{N_{G}}{N_{C P}} \times 100 %

8) traffie distribution ratio

λ_{j} = \frac{Q_{j}}{\underset{j}{Σ} Q_{j}} \times 100 %

The volume of traffic Q in jth direction_jComputing formula as follows:

Q_{j} = \underset{k}{Σ} Q_{j k}

9) degree of loading

S = \frac{\underset{i}{Σ} (q_{i} L_{i})}{\underset{i}{Σ} ({QC}_{i} L_{i})}

10) average speed

V=a × q^-b

V = \frac{\underset{i}{Σ} v_{i} L_{i} q_{i}}{\underset{i}{Σ} L_{i} q_{i}}

11) the crowded rate of mileage

P_{s} = \frac{{ΣL}_{s i}}{{ΣL}_{i}} \times 100 %

12) mileage fulfilling rate

P_{L} = \frac{L}{L_{p}}

13) grade fulfilling rate

P_{G} = \frac{L_{G}}{L_{p}}

14) passenger-cargo ratio

η = \frac{Q_{P}}{Q_{F}}

3, cross classification is used to realize the interrelated of network of highways characteristic and quantizating index.

The core concept of cross classification is to embody the interdependence between things.

See table 6, use cross classification, give the incidence matrix of network of highways characteristic and quantizating index.

3-1) incidence matrix reflects many-to-one association, man-to-man association and three of association multiplicity intuitively Feature.

3-1-1) many-to-one relatedness: one characteristic of the most multiple metrics evaluation.Such as evaluate " B3 access road layout feelings Condition " time, " (6) connection fulfilling rate " can be chosen and jointly evaluate this characteristic with " (7) connect grade fulfilling rate " 2 indexs.

Seeing table 6, the characteristic that " many-one " relates to has 4, including: B3 access road layout scenarios, B4 inner passage Layout scenarios, C1 external access operation level, C2 inner passage operation level.

3-1-2) man-to-man relatedness: one characteristic of i.e. one metrics evaluation.Such as when evaluating " A1 level of density ", can To use " (1) road mileage " 1 index to be evaluated.

Seeing table 6, the characteristic that " one to one " relates to has 11, including: A1 level of density, A2 mileage scale and society's warp Mat formation situation, B1 connection situation, B2 hierarchical organization, C3 congestion level, D1 mileage of the matching of Ji development, A3 realizes level, D2 Grade realizes level, the distribution of the E1 passenger traffic volume, the distribution of the E2 volume of goods transported and the passenger-cargo situation of E3.

3-1-3) association multiplicity: i.e. one index can evaluate multinomial characteristic simultaneously.Such as " (6) connection fulfilling rate " refers to Mark i.e. can evaluate " B3 access road layout scenarios " feature, it is also possible to evaluates " B4 inner passage layout scenarios ".

Seeing table 6, the index that " association multiplicity " relates to has 4, including: (6) connection fulfilling rate, (7) connection grade Fulfilling rate, (8) traffie distribution ratio, (9) degree of loading.Physical relationship is as described below:

3-2) in incidence matrix, the relation of network of highways characteristic and quantizating index is as described below:

3-2-1) " A road network scale " specificity analysis, uses 3 indexs, specifically:

A1 level of density: use " (1) road mileage " 1 metrics evaluation, belong to " man-to-man relatedness "；A2 mileage is advised Mould and the matching of socio-economic development: use " the average growth rate per annum ratio of (2) highway mileage-GDP-population " 1 index to comment Valency, belongs to " man-to-man relatedness "；A3 mats formation situation: uses " (3) mat formation level " 1 metrics evaluation, belongs to " man-to-man Relatedness "；

3-2-2) " B road network structure " specificity analysis, uses 4 indexs, specifically:

B1 connects situation: uses " (4) degree of communication " 1 metrics evaluation, belongs to " man-to-man relatedness "；B2 grade is tied Structure: use " (5) hierarchy level " 1 metrics evaluation, belong to " man-to-man relatedness "；B3 access road layout scenarios: use " (6) connection fulfilling rate " and " (7) even draw grade fulfilling rate " 2 metrics evaluation, belong to " many-to-one relatedness "；B4 is internal logical Road layout scenarios: use " (6) connection fulfilling rate " and " (7) connect grade fulfilling rate " 2 metrics evaluation, belong to " many-to-one Relatedness "；

3-2-3) " C operation level " specificity analysis, uses 5 indexs, specifically:

C1 external access operation level: use " (8) traffie distribution ratio " and " (9) degree of loading " 2 metrics evaluation, belongs to In " many-to-one relatedness "；C2 inner passage operation level: use " (9) degree of loading " and " (10) average speed " 2 indexs Evaluate, belong to " many-to-one relatedness "；C3 congestion level: use " the crowded rate of (11) mileage " 1 metrics evaluation, belong to " one Relatedness to one "；

3-2-4) " D planning realizes level " specificity analysis, uses 2 indexs, specifically:

D1 mileage realizes level: uses " (12) mileage fulfilling rate " 1 metrics evaluation, belongs to " man-to-man relatedness "； D2 grade realizes level: uses " (13) grade fulfilling rate " 1 metrics evaluation, belongs to " man-to-man relatedness "；

3-2-5) " the passenger-cargo service function of E " specificity analysis, uses 3 indexs, specifically:

The E1 passenger traffic volume is distributed: uses " (8) traffie distribution ratio " 1 metrics evaluation, belongs to " man-to-man relatedness "； The E2 volume of goods transported is distributed: uses " (8) traffie distribution ratio " 1 metrics evaluation, belongs to " man-to-man relatedness "；The passenger-cargo feelings of E3 Condition: use " (14) passenger-cargo ratio " 1 metrics evaluation, belong to " man-to-man relatedness "；

4, network of highways characteristic is analyzed.

For characteristic factor to be analyzed, the network of highways characteristic factor set up based on cross classification and quantizating index Incidence matrix, picks out calculative quantizating index, uses the computing formula of index to carry out the calculating of index；For index meter The quantized result calculated, the grading standard of comparison index, analyze the qualitative implication of each index, obtain network of highways characteristic factor Analysis result.It should be understood that calculate (2) highway mileage-GDP-population average growth rate per annum ratio " index time, at least need Will be by the data of nearly 5 years on the basis of the present situation time, such as 2013 is present situation year, and the time of the nearlyest 5 years refers to: 2009, 2010、2011、2012、2013；The data of As-Is analysis must be the data in same time.

4-1) " A road network scale " specificity analysis

A1 level of density: calculate " (1) road mileage " 1 index and carry out evaluation；" (1) road mileage " index have four kinds close According to the demand of evaluation, degree index, during calculating, can choose wherein that one or more carry out Calculation Estimation；When the demand of evaluation Indefinite, and only choose a kind of density index when analyzing, it is proposed that choose " area density "；

A2 mileage scale and the matching of socio-economic development: calculate " the average annual growth of (2) highway mileage-GDP-population Rate ratio " 1 metrics evaluation carry out evaluation；Index calculate during, highway mileage average annual growth rate, GDP average annual growth rate and The calculating of population average annual growth rate, the data at least needing nearly 5 years on the basis of the present situation time are to calculate average annual growth rate；

A3 mats formation situation: use " (3) mat formation level " 1 metrics evaluation to carry out evaluation；

See table 7, the hierarchy level criteria for classifying of " (1) road mileage ", be divided into " high ", " in " and " low " three levels. After being calculated desired value, can hierarchy level residing for the clear and definite road mileage of synopsis 7；

See table 8, the hierarchy level criteria for classifying of " the average growth rate per annum ratio of (2) highway mileage-GDP-population ", it is divided into " excellent ", " good " and " poor " three levels.After being calculated desired value, can synopsis 8 clear and definite mileage scale send out with social economy The matching level of exhibition；

See table 9, the hierarchy level criteria for classifying of " (3) mat formation level ", be divided into " high ", " in " and " low " three levels. After being calculated desired value, can clearly mat formation the hierarchy level residing for situation by synopsis 9；

4-2) " B road network structure " specificity analysis

B1 connects situation: calculates " (4) degree of communication " 1 index and carries out evaluation；During index calculates, the joint of connection Count and can add up according to administrative division, i.e. nodes is (district (county)) administrative center of city, small towns and organizational system village sum；Highway Net total kilometrage takes township road and above highway mileage sum thereof；

B2 hierarchical organization: calculate " (5) hierarchy level " 1 index and carry out evaluation；

B3 access road layout scenarios: calculate " (6) connection fulfilling rate " and open with " (7) connect grade fulfilling rate " 2 indexs Evaluate by exhibit valency；

B4 inner passage layout scenarios: calculate " (6) connection fulfilling rate " and open with " (7) connect grade fulfilling rate " 2 indexs Evaluate by exhibit valency；During calculating, the important node of inner passage generally refers to city-city, central city-new city (district), new city (district)-small towns, Industrial Function district, tourist attractions, passenger traffic or Cargo Terminal (airport, railway, highway, water transport etc.), can basis Region characteristic and the demand of evaluation, choose a kind of node or multiple node carry out computational analysis；

See table 10, the hierarchy level criteria for classifying of " (4) degree of communication ", it is divided into " excellent ", " good " and " poor " three levels.? After being calculated desired value, can hierarchy level residing for synopsis 10 clearly connection situation；

See table 11, the grading standard of " (5) hierarchy level ", be divided into " high ", " in " and " low " three levels.At meter After calculation obtains desired value, can hierarchy level residing for the clear and definite hierarchical organization of synopsis 11；

With reference to table 12, the implication of specific grade horizontal values can be specified；

See table 13, the grading standard of " (6) connection fulfilling rate ", it is divided into " excellent ", " good " and " poor " three levels.? After being calculated desired value, can the clear and definite access road of synopsis 13 or the hierarchy level connecting realization of inner passage；

See table 14, the grading standard of " (7) connection grade fulfilling rate ", it is divided into " excellent ", " good " and " poor " three water Flat.After being calculated desired value, can the grade water that realizes of the connection grade of the clear and definite access road of synopsis 14 or inner passage Flat；

4-3) " C operation level " specificity analysis

C1 external access operation level: calculate " (8) traffie distribution ratio " and " (9) degree of loading " 2 indexs and carry out and comment Valency；During calculating, calculate each external direction and " (8) the traffie distribution ratio " and " (9) in whole direction respectively Degree of loading " desired value；

C2 inner passage operation level: calculate " (9) degree of loading " and " (10) average speed " 2 indexs and carry out evaluation；

C3 congestion level: calculate " the crowded rate of (11) mileage " 1 index and carry out evaluation；The criterion of crowded section of highway is negative The lotus degree section more than 1, is crowded section of highway；Wherein calculating of degree of loading keeps consistent with the numerical value of C1 and C2；

See table 15, the grading standard of " (8) traffie distribution ratio ", it is divided into " the main traffic flow direction " and " secondary Traffic direction " two levels.After being calculated desired value, can synopsis 15 clear and definite channel capacity distribution hierarchy level；

See table 16, the grading standard of " (9) degree of loading ", it is divided into " the most unimpeded ", " the most unimpeded ", " typically gathers around Stifled " and " heavy congestion " four levels.After being calculated desired value, can the hierarchy level of the clear and definite degree of loading of synopsis 16；

See table 17, the grading standard of " (10) average speed ", be divided into " high ", " in ", " in low " and " low " four Level.After being calculated desired value, can the hierarchy level of the clear and definite average speed of synopsis 17；

Under determining certain administrative hierarchy during the average speed grade scale of road, need according to road under different technologies grade The average speed grade scale on road integrates.

V_{X}^{T} = \underset{i}{Σ} e_{R_{i}}^{T} \times V_{X}^{R_{i}}

In formula,Represent the average speed value of the X level of administrative hierarchy T, km/h；Represent technology etc. in administrative hierarchy T Level is R_iMileage length ratio, %；Representing industrial grade is R_iThe average speed value of road X level, km/h；T is row Political affairs grade, value is: national highway, province (city) road, county road, township road, road, village, accommodation road or the set of multiple administrative hierarchy, such as State province (city) road；X represents the level of average speed, and value is A, B, C；R_iRepresent industrial grade, i=0,1,2,3,4,5, respectively Represent highway, Class I highway, Class II highway, Class III highway, Class IV highway and substandard highway.

See table 18, the grading standard of " the crowded rate of (11) mileage ", it is divided into " the most serious ", " the most serious ", " tight Weight " and " the most serious " four levels.After being calculated desired value, can the crowded hierarchy level of the clear and definite mileage of synopsis 18；

4-4) " D planning realizes situation " specificity analysis

D1 mileage realizes level: calculates " (12) mileage fulfilling rate " 1 index and carries out evaluation；

D2 grade realizes level: calculates " (13) grade fulfilling rate " 1 index and carries out evaluation；

See table 19, the grading standard of " (12) mileage fulfilling rate ", it is divided into " excellent ", " good " and " poor " three levels. After being calculated desired value, the hierarchy level realized can be planned by the clear and definite mileage of synopsis 19；

See table 20, the grading standard of " (13) grade fulfilling rate ", it is divided into " excellent ", " good " and " poor " three levels. After being calculated desired value, the clear and definite grade of synopsis 20 can plan the hierarchy level realized；

4-5) " the passenger-cargo service function of E " specificity analysis

The E1 passenger traffic volume is distributed: calculates " (8) traffie distribution ratio " 1 index and carries out evaluation；Calculate each external direction And the passenger traffic amount distribution proportion in whole directions；

The E2 volume of goods transported is distributed: calculates " (8) traffie distribution ratio " 1 index and carries out evaluation；Calculate each external direction And the freight traffic amount distribution proportion in whole directions；

The passenger-cargo situation of E3: calculate " (14) passenger-cargo ratio " 1 index and carry out evaluation；

See table 21, the grading standard of " (14) passenger-cargo ratio ", it is divided into " shipping is main ", " passenger-cargo suitable " and " passenger traffic It is main " three levels.After being calculated desired value, can the hierarchy level of the most passenger-cargo situation of synopsis 21；

For These parameters, it should be understood that " (3) mat formation level ", " (9) degree of loading ", " (10) average speed ", " the crowded rate of (11) mileage ", " (12) mileage fulfilling rate ", " (13) grade fulfilling rate " six indexs include 7 kinds of situations, i.e. according to Highway administrative hierarchy and system-wide net are analyzed, and calculate national highway the most respectively, save (city) road, county road, township road, road, village, special public affairs Road and the index of system-wide net；According to the demand of evaluation, it is proposed that select the index of system-wide net and certain one or more administrative hierarchy Index is analyzed；Or carry out integrated analysis according to evaluating demand self assemble several administrative hierarchy road, such as, calculate The index in state province (city) road (also referred to as " county road and more than ")；When the demand of evaluation is indefinite, and when only choosing a kind of situation analysis, Suggestion calculates the index of system-wide net；Calculate " (8) traffie distribution ratio ", " (9) degree of loading ", " (10) average speed ", When " the crowded rate of (11) mileage ", " (14) passenger-cargo ratio " index, the traffic data suggestion used is annual average daily traffic, as Really data acquisition conditions does not allows, it is proposed that certain odd-numbered day volume of traffic at least the most on ordinary days or multiple odd-numbered day volume of traffic average Value, the most preferably chooses Tuesday～Thursday (except public holidays).

A kind of network of highways specificity analysis device based on cross classification is devised according to the method for the present invention, including: public Road network characteristic identification module, quantizating index set up module, cross classification relating module, data importing module, network of highways characteristic Analyze module, data memory module and data outputting module seven part to constitute.These seven parts connect each other, according to specificity analysis In data flow combine, and use in order.Wherein, cross classification relating module and network of highways specificity analysis mould Block is the core of this device.

Shown in Fig. 1, for a kind of based on cross classification the network of highways specificity analysis device according to the inventive method design Structure chart, net characteristic identification module, quantizating index set up module by road, cross classification relating module, data import mould Block, network of highways specificity analysis module, data memory module and data outputting module seven part are constituted.

The function of network of highways characteristic identification module is to evaluate demand based on network of highways, identifies network of highways characteristic factor.

It is to gather situation according to network of highways characteristic factor and road network data that quantizating index sets up the function of module, proposes Corresponding evaluation index is analyzed with characteristic factor.

The function of cross classification relating module is the content reflected according to characteristic factor, uses cross classification, real Existing quantizating index is interrelated with characteristic factor, specifies the quantizating index used when characteristic factor is analyzed.

Data import the function of module and are introduced into network of highways collection data, characteristic factor storehouse, quantizating index storehouse and intersection point Class method incidence matrix.

The function of network of highways specificity analysis module is the quantizating index that analytical calculation characteristic factor is corresponding, calculates for index Quantized result, according to the grading standard of each index, analyze the qualitative implication of each index, obtain network of highways characteristic because of Element analysis result.

The function of data memory module is to realize each data processing stage data to preserve.

The function of data outputting module is tied according to user's request output characteristics factor and index evaluation and specificity analysis Really.

This seven part connects each other, flows to combine use in order according to specificity analysis.Its running is as follows: After determining network of highways evaluation object, binding characteristic analyzes demand, by network of highways characteristic identification module clear and definite network of highways characteristic Analysing content；Network of highways characteristic identification module connects quantizating index and sets up module, cross classification relating module and data importing Module, in quantizating index sets up module, according to characteristic factor, arranges quantization evaluation index, connects cross classification and closes gang mould Block and data import module；Cross classification relating module realizes associating of network of highways characteristic factor and quantizating index, connects number According to importing module；Network of highways gathers data cube computation data and imports module, and data import module and connect network of highways specificity analysis module, According to characteristic factor analysing content, calculate quantizating index, the quantized result calculated for index, draw according to the grade of each index Minute mark is accurate, analyzes the qualitative implication of each index, obtains network of highways characteristic factor analysis result, and by the characteristic factor obtained and Index evaluation and specificity analysis result realize preserving and the merit of output via data memory module and data outputting module Energy.

Shown in Fig. 2, for the detail flowchart of apparatus of the present invention.First user analyzes demand identification highway according to user personality Net characteristic factor, and set up " characteristic factor storehouse factorTab "；Enter quantify Index Establishment module, according to network of highways characteristic because of Element feature, sets up " quantizating index storehouse indexTab "；Network of highways characteristic identification module and quantizating index are set up module and are all entered friendship Fork classification method relating module, realizes the association of characteristic factor and quantizating index in this module, sets up " cross classification association square Battle array incMatrix "；Network of highways characteristic identification module, quantizating index set up module, cross classification relating module and network of highways Gather data and all enter data importing module, import characteristic factor storehouse factorTab to network of highways specificity analysis module, quantify to refer to Mark storehouse indexTab, cross classification incidence matrix incMatrix and network of highways gather data；Network of highways specificity analysis module pin The dependent quantization index of each characteristic is calculated, and sets up " characteristic factor and index calculate tables of data indexResult ", On this basis, the quantized result that index calculates is associated with " index grading standard storehouse indexResultStan ", point Analyse the qualitative implication of each index, and set up " specificity analysis result factorResult ", and result is stored in data storage dress Put and issue the user with specificity analysis completion notice；After above-mentioned flow process completes, data storage device and data output device According to user's request, characteristic factor and index evaluation and specificity analysis result value are stored and form automatically respectively Change output, mainly include Characterization Data, specificity analysis result, and set up " dataOut ".

In order to explanation more intuitively uses this device to carry out flow process and the result of network of highways specificity analysis, with north in 2013 The specific implementation process analyzed is described as a example by the network of highways specificity analysis of Jing Shi Shunyi District.Particular content is as follows:

1, network of highways characteristic is identified.

Seeing table 1, demand evaluated by the data gathered according to network of highways and network of highways, determines the network of highways characteristic of analysis. Including 15 concrete properties of 5 aspect.Respectively:

1) A road network scale: include " A1 level of density ", " A2 mileage scale and the matching of socio-economic development " and " A3 Mat formation situation " 3 characteristics；

2) B road network structure: include " B1 connects situation ", " B2 hierarchical organization ", " B3 access road layout scenarios " and " in B4 Portion's channel layout situation " 4 characteristics；

3) C operation level: include " C1 external access operation level ", " C2 inner passage operation level " and " the crowded journey of C3 Degree " 3 characteristics；

4) D planning realizes situation: include that D1 mileage realizes level " and " D2 grade realizes level " 2 characteristics；

5) the passenger-cargo service function of E: include " distribution of the E1 passenger traffic volume ", " distribution of the E2 volume of goods transported " and " the passenger-cargo situation of E3 " 3 spies Property.

2, the quantizating index of specificity analysis it is proposed for.

For specificity analysis content, clear and definite 14 quantizating index.Respectively: (1) road mileage；(2) highway mileage-GDP- The average growth rate per annum ratio of population；(3) mat formation level；(4) degree of communication；(5) hierarchy level；(6) connection fulfilling rate；(7) connection Grade fulfilling rate；(8) traffie distribution ratio；(9) degree of loading；(10) average speed；(11) the crowded rate of mileage；(12) mileage is real Now rate；(13) grade fulfilling rate；(14) passenger-cargo ratio.

3, cross classification is used to realize the association of network of highways characteristic and quantizating index.

See table 6, for specificity analysis content and quantizating index, use cross classification to realize between both Matrix correlation.

4, network of highways characteristic is analyzed

4-1) A road network scale characteristic index of correlation gathers input and the calculating of data

See table 22, analyze " A road network scale " characteristic, calculate 3 indexs.Wherein, " A1 level of density " analytical calculation " (1) road mileage " 1 index；" A2 mileage scale and the matching of socio-economic development " analytical calculation " (2) highway mileage- The average growth rate per annum ratio of GDP-population " 1 index；1 index of " A3 mat formation situation " analytical calculation " (3) mat formation level "；

4-1-1) mileage length information, region area and the regional population of 2013 Nian Getiao highways in the range of collection Shunyi District Information, reference area density, population density, economic density and combined density totally 4 kinds of density；

4-1-2) gather 2006～mileage length information, GDP and the region of Ge Tiao highway in the range of Shunyi District in 2013 People information, calculates the average growth rate per annum ratio of highway mileage-GDP-population；

4-1-3) gather mileage length information, the administrative hierarchy of 2013 Nian Getiao highways, level of mating formation in the range of Shunyi District Information, and use the parameter of table 3, calculate national highway, road, city, county road, township road, road, village, accommodation road and the water of mating formation of system-wide net Flat；

See table 7, table 8 and the table area density of Shunyi District in 9,2013, population density, economic density and combined density to divide Other places in " high ", " in ", " low ", the level of development of " high "；Highway mileage is in " poor " with the matching of socio-economic development Level of development；Level of mating formation is in the level of development of " high "；

4-2) B road network structure characteristic index of correlation gathers input and the calculating of data

See table 23, analyze " B road network structure " characteristic, calculate 6 indexs.Wherein, " B1 connects situation " analytical calculation " (4) degree of communication " 1 index；1 index of " B2 hierarchical organization " analytical calculation " (5) hierarchy level "；" B3 access road layout feelings Condition " 2 indexs of analytical calculation, i.e. " (6) connection fulfilling rate, (7) connection grade fulfilling rate "；" B4 access road layout scenarios " point Analysis calculates 2 indexs, i.e. " (6) connection fulfilling rate, (7) connection grade fulfilling rate "；

4-2-1) connect in the mileage length information of 2013 Nian Getiao highways, region area, region in the range of collection Shunyi District Logical nodes, calculates degree of communication.Wherein, in region, the nodes of connection is city, county, small towns and organizational system village sum；

4-2-2) gather the mileage length information of Ge Tiao highway, industrial grade, administrative hierarchy information in the range of Shunyi District, meter Calculate national highway, road, city, county road, township road, road, village, accommodation road and the hierarchy level of system-wide net；

4-2-3) gather and connect Shunyi District and central city, Changping, Tongzhou, Huairou, Miyun, seven directions in Pinggu and Hebei County roads in 2013 and above present situation road travel permit number thereof and planning road bar number, calculate respectively central city direction, direction, Changping, Direction, Tongzhou, direction, Huairou, Miyun direction, direction, Pinggu, direction, Hebei connect fulfilling rate with the most externally direction；

4-2-4) gather and connect Shunyi District and central city, Changping, Tongzhou, Huairou, Miyun, seven directions in Pinggu and Hebei County roads in 2013 and implementation above thereof plan present situation road travel permit number and the planning road bar number of grade, calculate central city side respectively To, direction, Changping, direction, Tongzhou, direction, Huairou, Miyun direction, direction, Pinggu, direction, Hebei connect with the most externally direction Grade fulfilling rate；

4-2-5) gather between connection Shunyi District new city-small towns, service major industry functional areas and service tourist attractions County roads in 2013 and above present situation road travel permit number thereof and planning road bar number, calculate between Shunyi District new city-small towns, clothes respectively Business major industry functional areas connect fulfilling rate with service tourist attractions；

4-2-6) gather between connection Shunyi District new city-small towns, service major industry functional areas and service tourist attractions County roads in 2013 and the implementation above planning present situation road travel permit number of grade thereof and planning road bar number, calculate respectively district's new city- Between small towns, service major industry functional areas with service tourist attractions connect grade fulfilling rate；

The connection situation seeing table 10～table Shunyi District in 14,2013 is in the level of development of " good "；At the grade of national highway In level of development such as " high ", road, city, county road, township road, road, village, accommodation road and system-wide net be in " in " etc. level of development, wherein The grade of national highway is for highway, and road, city is between firsts and seconds highway, and county road, accommodation road are two grades and Class III highway Between, township road is between three grades and Class IV highway, and road, village is between level Four and substandard highway, and system-wide net is three grades and Class IV highway Between；In the layout scenarios of access road, the connection with central city realizes level and is in the level of " excellent ", and the connection with Tongzhou realizes Level is in the level of " poor ", and remaining direction and the most externally connection in direction realize level and be in the level of " good "；Except flat The connection grade in paddy direction realizes level and is in " good ", and remaining direction connection grade realizes level and is in the level of " poor "；In In portion's channel layout situation, connection realizes level and is " excellent ", and connection grade realizes level and is " poor "；

4-3) C operation level characteristic index of correlation gathers input and the calculating of data

See table 24, analyze " C operation level " characteristic, calculate 5 indexs.Wherein, " C1 external access operation level " point Analysis calculates 2 indexs, i.e. " (8) traffie distribution ratio, (9) degree of loading "；" C2 inner passage operation level " analytical calculation 2 Index, i.e. " (9) degree of loading, (10) average speed "；1 index of " C3 congestion level " analytical calculation " the crowded rate of (11) mileage ".

4-3-1) gather and connect Shunyi District and central city, Changping, Tongzhou, Huairou, Miyun, seven directions in Pinggu and Hebei County roads in 2013 and the annual average daily traffic of above each bar road thereof and the channel volume of traffic after calculating, calculate center respectively Direction, city, direction, Changping, direction, Tongzhou, direction, Huairou, Miyun direction, direction, Pinggu, direction, Hebei and the most external direction Traffie distribution ratio；

4-3-2) gather and connect Shunyi District and central city, Changping, Tongzhou, Huairou, Miyun, seven directions in Pinggu and Hebei County roads in 2013 and the annual average daily traffic of above each bar road thereof and the traffic capacity (seeing table 4), calculate center respectively Direction, city, direction, Changping, direction, Tongzhou, direction, Huairou, Miyun direction, direction, Pinggu, direction, Hebei and the most external direction Degree of loading；

4-3-3) in collection Shunyi District, administrative hierarchy is handing over average annual day in 2013 of each bar road of national highway, road, city, county road Flux, mileages of transport route and the traffic capacity (seeing table 4), calculate respectively national highway, road, city, county road He Guo city county road (county road and with On) degree of loading；

4-3-4) in collection Shunyi District, administrative hierarchy is handing over average annual day in 2013 of each bar road of national highway, road, city, county road Flux, mileages of transport route and determine the constant (see table 5) relevant with highway technology grade, calculate national highway, road, city, county road respectively The average speed of He Guo city county road (county road and more than)；

4-3-5) gather highway mileages in 2013 that administrative hierarchy in Shunyi District is each bar road of national highway, road, city, county road, The degree of loading highway mileage more than 1, calculate respectively national highway, road, city, county road He Guo city county road (county road and more than) mileage crowded Rate；

See table 15～table Shunyi District in 18,2013 is flowing mostly to of the external volume of traffic with central city direction, remaining side To being secondary traffic direction；In external access operation level, it is in " typically blocking up " with the degree of loading in central city direction, remaining Direction is " the most unimpeded "；In the operation level of inner passage, the degree of loading in national highway and road, city is " typically blocking up ", county road Degree of loading is " the most unimpeded ", and state's city's county road is " typically blocking up "；National highway, road, city, county road and the average speed of state's city's county road For " in low " uniform velocity；The degree of crowding of national highway is in " seriously " degree, and road, city, county road He Guo city county road are in " the tightest Weight "；

4-4) D planning realizes horizontal nature index of correlation and gathers input and the calculating of data

See table 25, analyze " D planning realizes level " characteristic, calculate 2 indexs.Wherein, " D1 mileage realizes water Flat " 1 index of analytical calculation " (12) mileage fulfilling rate "；" D1 grade realizes level " analytical calculation " (13) grade fulfilling rate " 1 Individual index.

4-4-1) in collection Shunyi District, administrative hierarchy is the present situation highway of each bar road in 2013 of national highway, road, city, county road Mileage and planning highway mileage, calculate national highway, road, city, the mileage of county road He Guo city county road (county road and more than) realize respectively Rate；

4-4-2) in collection Shunyi District, administrative hierarchy is the rule of realization of each bar roads in 2013 of national highway, road, city, county road The present situation highway mileage drawn and planning highway mileage, calculate national highway, road, city, county road He Guo city county road (county road and more than) respectively Grade fulfilling rate.

See table 19, the mileage of table Shunyi District in 20,2013 realizes in situation, and national highway, road, city, county road He Guo city county road divide Other places are in " excellent ", " good ", " poor ", the level of " poor "；Grade realizes in situation, and national highway, road, city, county road He Guo city county road are located respectively In " good ", " poor ", " poor ", the level of " poor "；

4-5) E passenger-cargo service function characteristic index of correlation gathers input and the calculating of data

See table 26, analyze " the passenger-cargo service function of E " characteristic, calculate 3 indexs.Wherein, " distribution of the E1 passenger traffic volume " analysis Calculate " (8) traffie distribution ratio " 1 index；" distribution of the E2 volume of goods transported " analytical calculation " (8) traffie distribution ratio " 1 finger Mark；1 index of " the passenger-cargo situation of E3 " analytical calculation " (14) passenger-cargo ratio "；

4-5-1) gather and connect Shunyi District and central city, Changping, Tongzhou, Huairou, Miyun, seven directions in Pinggu and Hebei The annual day passenger traffic amount and the passage passenger traffic amount after calculating of county roads in 2013 and above each bar road thereof, respectively Calculate central city direction, direction, Changping, direction, Tongzhou, direction, Huairou, Miyun direction, direction, Pinggu, direction, Hebei and the most right Outer direction passenger traffic amount distribution proportion；

4-5-2) gather and connect Shunyi District and central city, Changping, Tongzhou, Huairou, Miyun, seven directions in Pinggu and Hebei The annual Japanese goods of county roads in 2013 and above each bar road thereof deliver the passage freight traffic amount after flux and calculating, respectively Calculate central city direction, direction, Changping, direction, Tongzhou, direction, Huairou, Miyun direction, direction, Pinggu, direction, Hebei and the most right Outer direction freight traffic amount distribution proportion；

4-5-3) gather and connect Shunyi District and central city, Changping, Tongzhou, Huairou, Miyun, seven directions in Pinggu and Hebei County roads in 2013 and the annual day passenger traffic amount of above each bar road, freight traffic amount, respectively calculate central city direction, Direction, Changping, direction, Tongzhou, direction, Huairou, Miyun direction, direction, Pinggu, direction, Hebei and passenger-cargo ratio in the most external direction；

Seeing table 15, within 2013, Shunyi District is that main passenger traffic flows to central city direction, and remaining is secondary passenger traffic Traffic direction；Central city, Changping, direction, Huairou are that the main freight traffic of Shunyi District flows to, and remaining is secondary freight traffic stream To；

Seeing table 21, central city direction is based on passenger traffic, direction, Changping be based on shipping, remaining direction be passenger-cargo phase When, whole directions be passenger-cargo quite.

Table 1

Table 2

Table 3

Table 4

Table 5

Table 6

Note: there is association between " " representing characteristic and index.

Table 7

Table 8

Grade classification	Difference	Good	Excellent
				The average growth rate per annum ratio of highway mileage-GDP-population	<0.3	[0.3,0.8)	≥0.8

Table 9

Grade classification	Low	In	High
				System-wide net laying dress level	≥1.35	[1.15,1.35)	[1,1.15)
National highway is mated formation level	≥1.002	[1,1.002)	1
				Mat formation level in province (city) road	≥1.002	[1,1.002)	1
County road is mated formation level	≥1.002	[1,1.002)	1
				Township road is mated formation level	≥1.4	[1.2,1.4)	[1,1.2)
Mat formation in road level in village	≥2	[1.5,2)	[1,1.5)
				Accommodation road is mated formation level	≥1.4	[1.2,1.4)	[1,1.2)
State mats formation in province (city) road level	≥1.002	[1,1.002)	1
				State saves (city) county road and mats formation level	≥1.002	[1,1.002)	1

Table 10

Grade classification	Difference	Good	Excellent
				Degree of communication	<2	[2,3)	≥3

Table 11

Grade classification	Low	In	High
				System-wide network level level	≥3.5	[1,3.5)	<1
National highway hierarchy level	≥1.3	[1,1.3)	<1
				Save (city) road hierarchy level	≥1.8	[1,1.8)	<1
County road hierarchy level	≥3	[2,3)	<2
				Township road hierarchy level	≥4	[3.5,4)	<3.5
Road, village hierarchy level	≥4.2	[3.9,4.2)	<3.9
				Accommodation road hierarchy level	≥3	[2,3)	<2
State saves (city) road hierarchy level	≥1.6	[1,1.6)	<1
				State saves (city) county road hierarchy level	≥2.5	[1.8,2.5)	<1.8

Table 12

Table 13

Grade classification	Difference	Good	Excellent
				Connection fulfilling rate	< 75%	[75%, 90%)	>=90%

Table 14

Grade classification	Difference	Good	Excellent
				Connection grade fulfilling rate	< 60%	[60%, 80%)	>=80%

Table 15

Table 16

Grade classification	The most unimpeded	The most unimpeded	Typically block up	Heavy congestion
					Degree of loading	<0.3	[0.3,0.75)	[0.75,1.2)	≥1.2

Table 17

Table 18

Grade classification	The most serious	The most serious	Seriously	The most serious
					The crowded rate of mileage	< 20%	[20%, 60%)	[60%, 80%)	>=80%

Table 19

Grade classification	Difference	Good	Excellent
				Mileage planning fulfilling rate	< 70%	[70%, 90%)	>=90%

Table 20

Grade classification	Difference	Good	Excellent
				Grade planning fulfilling rate	< 50%	[50%, 80%)	>=80%

Table 21

Grade classification	Shipping is main	Passenger-cargo quite	Passenger traffic is main
				Passenger-cargo ratio	<0.82	[0.82,1.22)	≥1.22

Table 22

Table 23

Table 24

Table 25

Table 26

Claims

1. a network of highways characteristic analysis method based on cross classification, including identifying network of highways characteristic；It is proposed for characteristic The quantizating index analyzed；Use cross classification to realize the interrelated of network of highways characteristic and quantizating index, set up network of highways special Sexual factor and the incidence matrix of quantizating index；Carry out network of highways specificity analysis, calculate quantizating index, and according to each index etc. The level criteria for classifying, the qualitative implication of analysis indexes, obtain network of highways characteristic factor analysis result；User is first according to user personality Analysis demand identification network of highways characteristic factor, and set up sexual factor storehouse；Enter and quantify Index Establishment module, according to network of highways characteristic Factor feature, sets up quantizating index storehouse；Network of highways characteristic identification module and quantizating index are set up module and are all entered cross classification Relating module, realizes the association of characteristic factor and quantizating index in this module, sets up cross classification incidence matrix；Network of highways Characteristic identification module, quantizating index are set up module, cross classification relating module and network of highways collection data and are all entered data Import module, import characteristic factor storehouse, quantizating index storehouse, cross classification incidence matrix and public affairs to network of highways specificity analysis module Road network gathers data；Network of highways specificity analysis module calculates for the dependent quantization index of each characteristic, and sets up characteristic Factor and index calculate tables of data, and on this basis, according to the grading standard of each index, the qualitative of analysis indexes contains Justice, based on the method qualitatively and quantitatively combined, analyzes network of highways characteristic, and sets up specificity analysis result, and result be stored in Data storage device also issues the user with specificity analysis completion notice；After above-mentioned flow process completes, data storage device sum According to user's request, characteristic factor and index evaluation and specificity analysis result value are carried out automatically respectively according to output device Storage and Formatting Output, mainly include Characterization Data, specificity analysis result, and set up data output.

A kind of network of highways characteristic analysis method based on cross classification the most according to claim 1, specifically comprises the following steps that

2-1) identify network of highways characteristic；

Network of highways characteristic factor is the basis that network of highways is analyzed, and evaluates demand and data characteristic according to network of highways, identifies 5 altogether 15 characteristic factoies of aspect.Specific as follows:

1) A road network scale: be the key property of reflection road network present situation construction situation.Specifically include 3 characteristic factoies: A1 is close The matching of degree level, A2 mileage scale and socio-economic development and A3 mat formation situation；

A1 level of density is the size analyzing current highway network density；The matching of A2 mileage scale and socio-economic development is point Analysis highway mileage scale speedup and GDP and the relation of population speedup；A3 mat formation situation be analyze highway level of mating formation；

2) B road network structure: be reflection road network connection, grade and the key property of layout scenarios.Specifically include 4 characteristics Factor: B1 connection situation, B2 hierarchical organization, B3 access road layout scenarios and B4 inner passage layout scenarios；

B1 connection situation is the access feature of road network in the range of analyzed area；B2 hierarchical organization is the grade level analyzing network of highways Join relation；B3 access road layout scenarios is that on each external direction of analyzed area, the connection of road realizes situation；B4 is internal logical Road layout scenarios is that the connection of the interior road connecting important node of analyzed area realizes situation, and wherein important node generally refers to City-city, central city-new city (district), new city (district)-small towns, Industrial Function district, tourist attractions, passenger traffic or Cargo Terminal (machine Field, railway, highway, water transport etc.)；

3) C operation level: be the key property of reflection road network running quality, on the one hand, from external traffic and service internal transportation Two levels consider, the general direction distribution situation of the combing volume of traffic and running status；On the other hand, divide from the angle of road network The analysis degree of crowding.Specifically include 3 characteristic factoies: C1 external access operation level, C2 inner passage operation level and C3 The degree of crowding；

C1 external access operation level is traffie distribution situation and the load of the passage on each external direction of analyzed area Degree situation；C2 inner passage operation level is degree of loading and the average speed situation of road network in analyzed area；The C3 degree of crowding is The congested conditions of road in analyzed area；

4) D planning realizes situation: be comparison railway network planning requirement, assessment road network present situation mileage and grade realize situation.Tool 2 characteristic factoies are included: D1 mileage realizes level and D2 grade realizes level two aspect for body；

D1 mileage realize level be analyze planning road mileage realize situation；It is to analyze planning road etc. that D2 grade realizes level Level realize situation；

5) the passenger-cargo service function of E: be to start with from passenger and freight angle, reflection road network service function key property, mainly from Passenger and freight.Specifically include 3 characteristic factoies: the distribution of the E1 passenger traffic volume, the E2 volume of goods transported are distributed and E3 passenger-cargo situation tripartite Face；

The distribution of the E1 passenger traffic volume is to analyze passenger traffic amount distribution situation in access road；The distribution of the E2 volume of goods transported is to analyze access road Interior freight traffic amount distribution situation；The passenger-cargo situation of E3 is to analyze passenger-cargo accounting situation in access road.

2-2) it is proposed for the quantizating index of specificity analysis；

1) road mileage

Road mileage is a conventional objective indicator, and its size reflects the highway network's development level of countries and regions, Embodying internal structure and the reasonability thereof of road network to a certain extent, density of highway network has a following four computation schema:

γ_A=100 × L/A

γ_P=L/P

γ_G=L/G

In formula, γ_A、γ_P、γ_G, γ divide table to represent area density, population density, economic density and combined density；L represents highway Mileage, kilometer；A represents region area, square kilometre；P represents regional population, ten thousand people；G represents actual GDP, i.e. regional economy is lived Dynamic scale, hundred million yuan.

Highway mileage computing formula is:

L=∑ L_i

2) the average growth rate per annum ratio of highway mileage-GDP-population

The average growth rate per annum ratio of highway mileage-GDP-population is the highway mileage in the case of reflection per GDP and population speedup Growth pattern, embodies highway mileage speedup and GDP and the relation of population speedup.Computing formula is:

In formula, R^i-nRepresent the average growth rate per annum ratio of the highway mileage-GDP-population of 1 year to 1 year；Represent 1 year To the highway mileage average growth rate per annum of 1 year, %；Represent the GDP average growth rate per annum of 1 year to 1 year, %；Represent The population average growth rate per annum of 1 year to 1 year, %.

The average growth rate per annum of highway mileageComputing formula be:

In formula,Represent the highway mileage average growth rate per annum of 1 year to 1 year, %；LⁱRepresent 1 year highway mileage, kilometer； LⁿRepresent the highway mileage of 1 year, kilometer；I, n are the time, and i ＞ n.

The average growth rate per annum of GDPComputing formula be:

In formula,Represent the GDP average growth rate per annum of 1 year to 1 year, %；GⁱRepresent 1 year actual GDP, hundred million yuan；GⁿRepresent 1 year actual GDP, hundred million yuan；I, n are the time, and i ＞ n.

The average growth rate per annum of populationComputing formula be:

In formula,Represent the population average growth rate per annum of 1 year to 1 year, %；PⁱRepresent 1 year permanent resident population, ten thousand people；PⁿGeneration 1 year permanent resident population of table, ten thousand people；I, n are the time, and i ＞ n.

3) mat formation level

Network of highways level of mating formation is closely related with the capacity and level-of-service of whole road network.On the one hand driving is directly influenced Quality, on the other hand directly affects again highway transport economy benefit.Computing formula is:

PZ=(∑ L_iPZ_i)/∑L_i

In formula, PZ represents road network (or certain (or certain is several) administrative hierarchy road) level of mating formation in region；L_iRepresent region Nei Lu The mileage in net (or certain (or certain is several) administrative hierarchy road) i-th section, km；PZ_iRepresent road network in region (or certain (or certain is several) administrative hierarchy road) pavement grade in i-th section, mat formation to having, macadamize and do not mat formation, PZ_iPoint Do not take 1,2,3.

4) degree of communication

Network of highways degree of communication is the connection situation by investigating each node, reflects that the structure of network of highways is special in terms of Off-road motor vehides Point, relies on the intensity that highway is interconnected between each node in being defined as planning region, computing formula is:

In formula, C represents network of highways degree of communication；L represents highway mileage, kilometer；A represents region area, square kilometre；N Representative Region In territory, the nodes of connection, individual；ξ represents network of highways deformation coefficient (or non-linear coefficient), is defined as actual track between each node The ratio of total kilometrage and straight line total kilometrage, general value 1.1.

The nodes of connection can be added up according to administrative division, i.e. nodes is (district (county)) administrative center, small towns, city and builds Village processed sum；Network of highways total kilometrage takes township road and above highway mileage sum thereof.

When C is close to 1.00, road network layout is tree-shaped, mostly is two-way connection between each node；When C value is 2.00, road network layout is Square grid shape, node mostly are four tunnel connections；When C value is slightly larger than 3.00, road network layout is triangular mesh, and node mostly is six tunnels even Logical.

5) hierarchy level

The weighted mean of Nei Ge section, hierarchy level region correction technique grade represents.The height of road quality classification is by direct shadow Ring highway transportation situation.Computing formula is:

GL=(∑ L_iGL_i/η_i)/∑L_i

In formula, GL represents road network (or certain (or certain is several) administrative hierarchy road) hierarchy level (0≤GL≤5)；L_iRepresent region The highway mileage in i-th section, kilometer in interior road network (or certain (or certain is several) administrative hierarchy road)；GL_iRepresent in region The industrial grade in i-th section in road network (or certain (or certain is several) administrative hierarchy road), corresponding high speed, one-level, two grades, three Level, level Four, etc. outside, i takes 0,1,2,3,4,5 respectively；η_iRepresent the grade correction factor in Nei Ge section, region, highway, Level highway, the η of Class II highway_iTaking 1, other highways take 0.97.

6) connection fulfilling rate

In formula, K_CRepresent connection fulfilling rate；N_CRepresent the real road bar number of connection between region；N_CPRepresent and plan between region The road travel permit number of connection.

7) connection grade fulfilling rate

Connection grade fulfilling rate refers to that between region, real road realizes the bar number of planning grade and the ratio of planning bar number.Calculate Formula is:

In formula, K_GRepresent connection fulfilling rate；N_GRepresent the road travel permit number realizing planning grade between region；N_CPRepresent between region The road travel permit number of planning connection.

8) traffie distribution ratio

Traffie distribution ratio reflects the traffie distribution situation of a country different directions, and its volume of traffic ratio is more Greatly, illustrate that the volume of traffic that the direction is carried is the biggest.Computing formula is:

The volume of traffic Q in jth direction_jComputing formula as follows:

In formula, Q_jRepresent the volume of traffic in jth direction, pcu/d；Q_jkRepresent the volume of traffic in kTiao section, jth direction, pcu/d.Its In, link counting can be gathered by automatic equipment or manually collect.

9) degree of loading

Network of highways degree of loading is exactly to reflect the ability that whole road network adapts to load, i.e. with the adaptation situation of transport need, is defined as The ratio of the network of highways volume of traffic and network of highways capacity.Computing formula is:

In formula, S represents road network (or certain (or certain is several) administrative hierarchy road) degree of loading in region；L_iRepresent road network in region The mileage in i-th section, kilometer in (or certain (or certain is several) administrative hierarchy road)；q_iRepresent road network in region (or certain (or certain is several) administrative hierarchy road) in i-th section actual traffic amount, pcu/d；QC_i(or certain are (or a few to represent road network Kind) administrative hierarchy road) in i-th section adapt to the volume of traffic, pcu/d.

10) average speed

Average speed is the mileage weighted mean of each Road average-speed in road network, is the highway system in highway communication, car The result of systems and management system synthesis effect, the concentrated expression system service performance of road network.Computing formula is:

V=a × q^-b

In formula, v represents the average speed in section, km/h；Q represents the volume of traffic in section, pcu/d；A, b have with highway technology grade The constant closed.

Highway is divided into several sections by industrial grade, calculates the average speed of each section, then root according to above-mentioned model The average speed of whole road network is calculated according to average weighted method.Computing formula is:

In formula, V represents the average speed of road network (or certain (or certain is several) administrative hierarchy road), km/h in region；v_iRepresentative Region The average speed in i-th section, km/h in road network (or certain (or certain is several) administrative hierarchy road) in territory；L_iRepresent in region The highway mileage in i-th section, km in road network (or certain (or certain is several) administrative hierarchy road)；q_iRepresent road network in region The volume of traffic in i-th section, pcu/d in (or certain (or certain is several) administrative hierarchy road).

11) the crowded rate of mileage

The crowded rate of network of highways mileage refers to that the crowded section of highway total kilometrage in network of highways accounts for the ratio of network of highways total kilometrage.Computing formula For:

In formula, P_sRepresent the crowded rate of mileage of road network (or certain (or certain is several) administrative hierarchy road) in region；L_siRepresentative Region The mileage of i-th section crowded section of highway, kilometer in road network (or certain (or certain is several) administrative hierarchy road) in territory；L_iRepresentative Region The mileage in i-th section, kilometer in road network (or certain (or certain is several) administrative hierarchy road) in territory.

12) mileage fulfilling rate

In formula, P_LRepresent the mileage fulfilling rate of road network (or certain (or certain is several) administrative hierarchy road)；L represent road network (or certain (or certain is several) administrative hierarchy road) planning mileage realization amount, kilometer；L_p(or certain (or certain are several) are administrative to represent network of highways Grade road) planning mileage, kilometer.

13) grade fulfilling rate

Grade fulfilling rate refers to the ratio of actual network of highways hierarchy level and the network of highways hierarchy level of planning.Computing formula is:

In formula, P_GRepresent the grade fulfilling rate of road network (or certain (or certain is several) administrative hierarchy road)；L_GRepresent road network (or certain Plant (or certain is several) administrative hierarchy road) planning grade realization amount, kilometer；L_p(or certain (or certain is several) are OK to represent network of highways Political affairs grade road) planning mileage, kilometer.

14) passenger-cargo ratio

Passenger-cargo ratio refers to the ratio of passenger traffic amount and freight traffic amount, and it reflects passenger-cargo service spy of certain road or passage Property.

2-3) cross classification is used to realize the interrelated of network of highways characteristic and quantizating index；

Use cross classification, give the incidence matrix of network of highways characteristic and quantizating index；This matrix reflects many intuitively Association to one, man-to-man association and three features of association multiplicity；

2) man-to-man relatedness: one characteristic of i.e. one metrics evaluation；

2-4) analyze network of highways characteristic；

For characteristic factor to be analyzed, the network of highways characteristic factor set up based on cross classification associates with quantizating index Matrix, picks out calculative quantizating index, uses the computing formula of step 2 to carry out the calculating of index；Calculate for index Quantized result, according to the grading standard of each index, analyze the qualitative implication of each index, obtain network of highways characteristic because of Element analysis result.

3. a network of highways specificity analysis device based on cross classification, it is characterised in that including: network of highways characteristic identification mould Block, quantizating index set up module, cross classification relating module, data import module, network of highways specificity analysis module, data are deposited Storage module and data outputting module seven part are constituted；These seven parts connect each other, tie according to the data flow in specificity analysis It is combined, and uses in order；

It is to gather situation according to network of highways characteristic factor and road network data that quantizating index sets up the function of module, proposes with special Sexual factor analyzes corresponding evaluation index；

The function of cross classification relating module is the content reflected according to characteristic factor, uses cross classification, it is achieved amount Change index is interrelated with characteristic factor, specifies the quantizating index used when characteristic factor is analyzed；

Data import the function of module and are introduced into network of highways collection data, characteristic factor storehouse, quantizating index storehouse and cross classification Incidence matrix；

The function of network of highways specificity analysis module is the quantizating index that analytical calculation characteristic factor is corresponding, the amount calculated for index Change result, according to the grading standard of each index, analyze the qualitative implication of each index, obtain network of highways characteristic factor and divide Analysis result；

The function of data outputting module is according to user's request output characteristics factor and index evaluation and specificity analysis result；

This seven part connects each other, flows to combine use in order according to specificity analysis；Its running is as follows: when really After determining network of highways evaluation object, binding characteristic analyzes demand, by network of highways characteristic identification module clear and definite network of highways specificity analysis Content；Network of highways characteristic identification module connects quantizating index and sets up module, cross classification relating module and data importing module, In quantizating index sets up module, according to characteristic factor, quantization evaluation index is set, connects cross classification relating module sum According to importing module；Cross classification relating module realizes associating of network of highways characteristic factor and quantizating index, connects data and imports Module；Network of highways gathers data cube computation data and imports module, and data import module and connect network of highways specificity analysis module, according to spy Sexual factor analysing content, calculates quantizating index, and the quantized result calculated for index, according to the grade classification mark of each index Standard, analyzes the qualitative implication of each index, obtains network of highways characteristic factor analysis result, and by the characteristic factor obtained and index Evaluation and specificity analysis result realize preserving and the function of output via data memory module and data outputting module.